Abstract
Le journal is the Ixelis open scientific notebook. We will use it to share ideas, experiments, methods, useful failures, and early results from our work in AI, cheminformatics, scientific knowledge systems, and chemical safety. Notes are meant to be timely and readable, while still showing who did the work, when it was shared, what evidence supports it, and what may change next.
Why an open notebook?
Good ideas do not arrive as finished papers. They begin as questions, sketches, small experiments, unexpected results, and conversations. Too much of that useful middle disappears into private documents—or waits so long for a formal publication that the moment to discuss it has passed.
Le journal gives us a place in between. We can share something while it is still fresh, include enough detail for others to understand or challenge it, and come back with a better version when the work moves on.
Share early enough to start a conversation; clearly enough for others to join it.
What we will share
Our work sits where molecular data, scientific knowledge, and modern AI meet. Expect notes about cheminformatics algorithms, explainable QSAR, chemical safety, literature and knowledge extraction, agentic scientific systems, and things we learn through collaboration.
Some posts will describe a method or benchmark. Others may be a compact idea, a practical walkthrough, a negative result, or an open question. We will label each note so it is easy to see whether it is exploratory work, a tested result, or a companion to a formal publication.
A few simple promises
We will name the authors, date and version each note, separate what we observed from what we think it means, talk honestly about limitations, cite the work we build on, and share figures, code, or data when we can.
These notes are not peer-reviewed papers unless we explicitly say otherwise. That distinction matters. Openness should make the status of an idea clearer, not blur it.
Let’s begin
This first note simply opens the door. The next ones will bring the experiments, methods, results, questions, and occasional dead ends that make scientific work interesting.
Welcome to Le journal. Read critically, reuse responsibly, and tell us what you think.